Development of a system for the classification of Fakenews coupled with the ETL stage of a Portuguese News Text Data Warehouse

• Roger Monteiro Uniasselvi
• Rodrigo Nogueira IFC
• Greisse Moser Uniasselvi

DOI: https://doi.org/10.5753/erbd.2019.8486

Abstract

With the rapid advancement of technology and the easy access and dissemination of information, the term fakenews has gained worrisome attention, ranging from small discussions on social networks, to serious problems such as self-medication, health-hazardous diets. Therefore, the purpose of this paper is to use machine learning methods to discover, classify and store fake news texts, generating a web classifier and query environment that will contribute to future research.

Keywords: Fake News, Machine Learning, Classifier

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